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Statistical Foundations of Data Analytics
MGSC 401 001
Mondays 8:35 - 11:25 Start Date: January 5, 2027 End Date: April 14, 2027 CL Credits: 3 Number of Class Hours: 39 Remuneration: $11,824.00 Deadline to apply: October 15 at 11:59 pm
The Desautels Faculty of Management is inviting applications to teach a course in Winter 2027. Please complete the online application form and upload required documents. Applications will be ranked according to the collective agreement between McGill University and the MCLIU. Preference will be given to the qualified applicant with the most priority points.
Teaching Qualification Requirements:
Education:
PhD (or its equivalent), Master's, or Bachelor's degree in Business (with ample experience in data analytics courses and machine learning). Preferences will be given to those holding a degree in Operations Management, Industrial Engineering, or Operations Research.
Experience:
Candidate must be fluent in AI algorithms, R-studio, statistical learning, and must have a track record in teaching such topics. University teaching experience required.
Location
ARMST 075
For any questions, please contact academicaffairs.mgmt@mcgill.ca
Before applying, please note that to work at McGill University, you must be both authorized to work in Canada and willing to work in the province of Quebec at the campus where the position is based / located.
McGill University is an English-language university where most teaching and research activities are conducted in the English language, thereby requiring English communication both verbally and in writing.
Hiring Unit:
Desautels Faculty of Management -Operations Management Area
Course Title:
Statistical Foundations of Data Analytics
Subject Code:
MGSC 401 001
Location:
ARMST 075
Schedule:
Mondays 8:35 - 11:25
Deadline to Apply:
2026-10-15
McGill University hires on the basis of merit and is strongly committed to equity and diversity within its community. We welcome applications from racialized persons/visible minorities, women, Indigenous persons, persons with disabilities, ethnic minorities, and persons of minority sexual orientations and gender identities, as well as from all qualified candidates with the skills and knowledge to productively engage with diverse communities. McGill implements an employment equity program and encourages members of designated groups to self-identify. Persons with disabilities who anticipate needing accommodations for any part of the application process may contact, in confidence, accessibilityrequest.hr@mcgill.ca.
